






"""simple docstring"""


import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging


__SCREAMING_SNAKE_CASE   =   logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE   =   {'vocab_file': 'spiece.model'}

__SCREAMING_SNAKE_CASE   =   {
    'vocab_file': {
        'xlnet-base-cased': 'https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model',
        'xlnet-large-cased': 'https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model',
    }
}

__SCREAMING_SNAKE_CASE   =   {
    'xlnet-base-cased': None,
    'xlnet-large-cased': None,
}

# Segments (not really needed)
__SCREAMING_SNAKE_CASE   =   0
__SCREAMING_SNAKE_CASE   =   1
__SCREAMING_SNAKE_CASE   =   2
__SCREAMING_SNAKE_CASE   =   3
__SCREAMING_SNAKE_CASE   =   4




class 						__UpperCamelCase     (     UpperCamelCase						):
					lowercase_    :				List[Any]      =  VOCAB_FILES_NAMES
					lowercase_    :				Union[str, Any]      =  PRETRAINED_VOCAB_FILES_MAP
					lowercase_    :				int      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowercase_    :				List[str]      =  """left"""
					def __init__(							self							:	Any     , UpperCAmelCase							:	Optional[Any]     , UpperCAmelCase							:	Optional[int]=False     , UpperCAmelCase							:	List[Any]=True     , UpperCAmelCase							:	str=False     , UpperCAmelCase							:	str="<s>"     , UpperCAmelCase							:	int="</s>"     , UpperCAmelCase							:	str="<unk>"     , UpperCAmelCase							:	Any="<sep>"     , UpperCAmelCase							:	str="<pad>"     , UpperCAmelCase							:	Tuple="<cls>"     , UpperCAmelCase							:	Optional[Any]="<mask>"     , UpperCAmelCase							:	str=["<eop>", "<eod>"]     , UpperCAmelCase							:	Optional[Dict[str, Any]] = None     , **UpperCAmelCase							:	Optional[int]     , )	->       None:
											# Mask token behave like a normal word, i.e. include the space before it
											lowerCAmelCase   :Tuple						=			AddedToken(UpperCAmelCase     , lstrip=UpperCAmelCase     , rstrip=UpperCAmelCase   ) if isinstance(UpperCAmelCase     , UpperCAmelCase   ) else mask_token

											lowerCAmelCase   :Optional[Any]						=			{} if sp_model_kwargs is None else sp_model_kwargs

											super().__init__(
											    do_lower_case=UpperCAmelCase     , remove_space=UpperCAmelCase     , keep_accents=UpperCAmelCase     , bos_token=UpperCAmelCase     , eos_token=UpperCAmelCase     , unk_token=UpperCAmelCase     , sep_token=UpperCAmelCase     , pad_token=UpperCAmelCase     , cls_token=UpperCAmelCase     , mask_token=UpperCAmelCase     , additional_special_tokens=UpperCAmelCase     , sp_model_kwargs=self.sp_model_kwargs     , **UpperCAmelCase     , )

											lowerCAmelCase   :List[str]						=			3

											lowerCAmelCase   :Tuple						=			do_lower_case
											lowerCAmelCase   :Any						=			remove_space
											lowerCAmelCase   :Dict						=			keep_accents
											lowerCAmelCase   :int						=			vocab_file

											lowerCAmelCase   :Tuple						=			spm.SentencePieceProcessor(**self.sp_model_kwargs   )
											self.sp_model.Load(UpperCAmelCase   )
					@property
					def        UpperCAmelCase__ (							self							:	int   )	->       Tuple:
											return len(self.sp_model   )
					def        UpperCAmelCase__ (							self							:	Tuple   )	->       Any:
											lowerCAmelCase   :List[Any]						=			{self.convert_ids_to_tokens(UpperCAmelCase   ): i for i in range(self.vocab_size   )}
											vocab.update(self.added_tokens_encoder   )
											return vocab
					def __getstate__(							self							:	Optional[int]   )	->       Union[str, Any]:
											lowerCAmelCase   :List[Any]						=			self.__dict__.copy()
											lowerCAmelCase   :Dict						=			None
											return state
					def __setstate__(							self							:	List[Any]     , UpperCAmelCase							:	Optional[Any]   )	->       int:
											lowerCAmelCase   :Dict						=			d

											# for backward compatibility
											if not hasattr(self     , 'sp_model_kwargs'   ):
																	lowerCAmelCase   :Optional[int]						=			{}

											lowerCAmelCase   :Union[str, Any]						=			spm.SentencePieceProcessor(**self.sp_model_kwargs   )
											self.sp_model.Load(self.vocab_file   )
					def        UpperCAmelCase__ (							self							:	List[str]     , UpperCAmelCase							:	Optional[Any]   )	->       int:
											if self.remove_space:
																	lowerCAmelCase   :Union[str, Any]						=			' '.join(inputs.strip().split()   )
											else:
																	lowerCAmelCase   :List[str]						=			inputs
											lowerCAmelCase   :List[str]						=			outputs.replace('``'     , '"'   ).replace('\'\''     , '"'   )

											if not self.keep_accents:
																	lowerCAmelCase   :Union[str, Any]						=			unicodedata.normalize('NFKD'     , UpperCAmelCase   )
																	lowerCAmelCase   :int						=			''.join([c for c in outputs if not unicodedata.combining(UpperCAmelCase   )]   )
											if self.do_lower_case:
																	lowerCAmelCase   :List[Any]						=			outputs.lower()

											return outputs
					def        UpperCAmelCase__ (							self							:	Union[str, Any]     , UpperCAmelCase							:	str   )	->       List[str]:
											lowerCAmelCase   :Optional[int]						=			self.preprocess_text(UpperCAmelCase   )
											lowerCAmelCase   :Union[str, Any]						=			self.sp_model.encode(UpperCAmelCase     , out_type=UpperCAmelCase   )
											lowerCAmelCase   :List[str]						=			[]
											for piece in pieces:
																	if len(UpperCAmelCase   ) > 1 and piece[-1] == str(','   ) and piece[-2].isdigit():
																							lowerCAmelCase   :List[Any]						=			self.sp_model.EncodeAsPieces(piece[:-1].replace(UpperCAmelCase     , ''   )   )
																							if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
																													if len(cur_pieces[0]   ) == 1:
																																			lowerCAmelCase   :int						=			cur_pieces[1:]
																													else:
																																			lowerCAmelCase   :Union[str, Any]						=			cur_pieces[0][1:]
																							cur_pieces.append(piece[-1]   )
																							new_pieces.extend(UpperCAmelCase   )
																	else:
																							new_pieces.append(UpperCAmelCase   )

											return new_pieces
					def        UpperCAmelCase__ (							self							:	List[Any]     , UpperCAmelCase							:	Tuple   )	->       List[Any]:
											return self.sp_model.PieceToId(UpperCAmelCase   )
					def        UpperCAmelCase__ (							self							:	Optional[int]     , UpperCAmelCase							:	Union[str, Any]   )	->       Dict:
											return self.sp_model.IdToPiece(UpperCAmelCase   )
					def        UpperCAmelCase__ (							self							:	List[Any]     , UpperCAmelCase							:	Union[str, Any]   )	->       Tuple:
											lowerCAmelCase   :List[str]						=			''.join(UpperCAmelCase   ).replace(UpperCAmelCase     , ' '   ).strip()
											return out_string
					def        UpperCAmelCase__ (							self							:	Union[str, Any]     , UpperCAmelCase							:	List[int]     , UpperCAmelCase							:	bool = False     , UpperCAmelCase							:	bool = None     , UpperCAmelCase							:	bool = True     , **UpperCAmelCase							:	int     , )	->       str:
											lowerCAmelCase   :Optional[Any]						=			kwargs.pop('use_source_tokenizer'     , UpperCAmelCase   )

											lowerCAmelCase   :Dict						=			self.convert_ids_to_tokens(UpperCAmelCase     , skip_special_tokens=UpperCAmelCase   )

											# To avoid mixing byte-level and unicode for byte-level BPT
											# we need to build string separately for added tokens and byte-level tokens
											# cf. https://github.com/huggingface/transformers/issues/1133
											lowerCAmelCase   :int						=			[]
											lowerCAmelCase   :Dict						=			[]
											for token in filtered_tokens:
																	if skip_special_tokens and token in self.all_special_ids:
																							continue
																	if token in self.added_tokens_encoder:
																							if current_sub_text:
																													sub_texts.append(self.convert_tokens_to_string(UpperCAmelCase   )   )
																													lowerCAmelCase   :Union[str, Any]						=			[]
																							sub_texts.append(UpperCAmelCase   )
																	else:
																							current_sub_text.append(UpperCAmelCase   )
											if current_sub_text:
																	sub_texts.append(self.convert_tokens_to_string(UpperCAmelCase   )   )

											# Mimic the behavior of the Rust tokenizer:
											# By default, there are no spaces between special tokens
											lowerCAmelCase   :Optional[Any]						=			''.join(UpperCAmelCase   )

											lowerCAmelCase   :Dict						=			(
											    clean_up_tokenization_spaces
											    if clean_up_tokenization_spaces is not None
											    else self.clean_up_tokenization_spaces
											)
											if clean_up_tokenization_spaces:
																	lowerCAmelCase   :Dict						=			self.clean_up_tokenization(UpperCAmelCase   )
																	return clean_text
											else:
																	return text
					def        UpperCAmelCase__ (							self							:	Tuple     , UpperCAmelCase							:	List[int]     , UpperCAmelCase							:	Optional[List[int]] = None   )	->       List[int]:
											lowerCAmelCase   :int						=			[self.sep_token_id]
											lowerCAmelCase   :List[str]						=			[self.cls_token_id]
											if token_ids_a is None:
																	return token_ids_a + sep + cls
											return token_ids_a + sep + token_ids_a + sep + cls
					def        UpperCAmelCase__ (							self							:	int     , UpperCAmelCase							:	List[int]     , UpperCAmelCase							:	Optional[List[int]] = None     , UpperCAmelCase							:	bool = False   )	->       List[int]:

											if already_has_special_tokens:
																	return super().get_special_tokens_mask(
																	    token_ids_a=UpperCAmelCase     , token_ids_a=UpperCAmelCase     , already_has_special_tokens=UpperCAmelCase   )

											if token_ids_a is not None:
																	return ([0] * len(UpperCAmelCase   )) + [1] + ([0] * len(UpperCAmelCase   )) + [1, 1]
											return ([0] * len(UpperCAmelCase   )) + [1, 1]
					def        UpperCAmelCase__ (							self							:	Optional[Any]     , UpperCAmelCase							:	List[int]     , UpperCAmelCase							:	Optional[List[int]] = None   )	->       List[int]:
											lowerCAmelCase   :Union[str, Any]						=			[self.sep_token_id]
											lowerCAmelCase   :Tuple						=			[2]

											if token_ids_a is None:
																	return len(token_ids_a + sep   ) * [0] + cls_segment_id
											return len(token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1] + cls_segment_id
					def        UpperCAmelCase__ (							self							:	Optional[Any]     , UpperCAmelCase							:	str     , UpperCAmelCase							:	Optional[str] = None   )	->       Tuple[str]:
											if not os.path.isdir(UpperCAmelCase   ):
																	logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""   )
																	return
											lowerCAmelCase   :Tuple						=			os.path.join(
											    UpperCAmelCase     , (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )

											if os.path.abspath(self.vocab_file   ) != os.path.abspath(UpperCAmelCase   ) and os.path.isfile(self.vocab_file   ):
																	copyfile(self.vocab_file     , UpperCAmelCase   )
											elif not os.path.isfile(self.vocab_file   ):
																	with open(UpperCAmelCase     , 'wb'   ) as fi:
																							lowerCAmelCase   :Optional[Any]						=			self.sp_model.serialized_model_proto()
																							fi.write(UpperCAmelCase   )

											return (out_vocab_file,)







"""simple docstring"""


import itertools
import math


def        UpperCAmelCase      (					a__ ):





						'''simple docstring'''






						if 1 < number < 4:
												# 2 and 3 are primes
												return True
						elif number < 2 or number % 2 == 0 or number % 3 == 0:
												# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
												return False

						# All primes number are in format of 6k +/- 1
						for i in range(5     ,      int(math.sqrt(a__ ) + 1 )     ,      6 ):
												if number % i == 0 or number % (i + 2) == 0:
																		return False
						return True


def        UpperCAmelCase      (					):





						'''simple docstring'''






						lowerCAmelCase   :str						=			2
						while True:
												if is_prime(a__ ):
																		yield num
												num += 1


def        UpperCAmelCase      (					a__ = 1_00_01 ):





						'''simple docstring'''






						return next(itertools.islice(prime_generator()     ,      nth - 1     ,      a__ ) )


if __name__ == "__main__":
		print(F"""{solution() = }""")